COVID-19 Risk Perception, Trust in Institutions and Negative Affect Drive Positive COVID-19 Vaccine Intentions

How does collectivism help deal with perceived vaccine artificiality? The case of COVID-19 vaccination intent in European young adults

Vaccine "unnaturalness" (artificiality) is one of the major anti-vaccine arguments raised in public debate. Therefore, health communication should rebut unnaturalness arguments and be cautious when emphasizing human intervention (e.g., advanced vaccine technology), which may entail perceiving vaccines as artificial. Understanding how the relationship between perceived vaccine artificiality and vaccination intent differs across social groups can help enforce the above health communication efforts by focusing them on specific audiences. The objective of the current paper is to assess the moderating role of a particular socio-cultural factor-vertical collectivism (reflecting the orientation on social hierarchy)-in the relationship between perceived vaccine artificiality and vaccination intent. It is proposed that vertical collectivism diminishes the negative effect of perceived vaccine artificiality. Two studies with European young adults measured COVID-19 vaccination intent and vertical collectivism. Study 1 (N = 418) was correlational, measuring perceived vaccine artificiality. The data were analyzed with a moderation model. Study 2 (N = 203) was experimental, manipulating perceived vaccine artificiality by human-intervention appeal (i.e., emphasizing human intervention in vaccine development and operation). The data were analyzed with moderation and moderated mediation models. Study 1 demonstrated that the effect of perceived vaccine artificiality on vaccination intent was less negative when the level of vertical collectivism was higher. In Study 2, with higher levels of vertical collectivism, the effect of human-intervention appeal on vaccination intent was less negative, and the indirect effect through perceived vaccine artificiality turned even positive. Those results contribute to the fields of perceived naturalness/artificiality, vaccination behavior, health communication, and cultural dimensions theory, providing empirical evidence that the negative effect of perceived vaccine artificiality on vaccination intent is diminished by vertical collectivism, as proposed. Health practitioners are guided on how to consider different levels of collectivism of their audiences while referring to vaccine artificiality in their communication. Specifically, it is suggested that rebutting "unnaturalness" anti-vaccine arguments should be focused on people low in vertical collectivism, and messages featuring human intervention (e.g., a vaccine's technological advancement) should be targeted at people high in vertical collectivism.

The Politics of Covid-19 Vaccination Hesitancy in Southeastern Europe

The execution of Covid-19 vaccination drives in former Yugoslavia's successor states has been disappointing. The rapidly evolving literature on the Covid-19 pandemic suggests the levels of support for vaccination are correlated with education, trust in public-health institutions, and exposure to the negative economic and health effects of the pandemic. The explanations of the political foundations of vaccination hesitancy, however, need better empirical grounding. We shed light on this subject by analyzing the results of a survey conducted on more than six thousand respondents from Bosnia-Herzegovina, Croatia, and Serbia, as well as a combination of public-health, economic, and sociodemographic data across more than five hundred municipalities in Croatia. Most notably, we find the political sources of vaccination hesitancy to be strongly related to people's support for the ideas of political parties committed to nationalist populism.

Exploring Political Mistrust in Pandemic Risk Communication: Mixed-Method Study Using Social Media Data Analysis

BACKGROUND

This research extends prior studies by the Finnish Institute for Health and Welfare on pandemic-related risk perception, concentrating on the role of trust in health authorities and its impact on public health outcomes.

OBJECTIVE

The paper aims to investigate variations in trust levels over time and across social media platforms, as well as to further explore 12 subcategories of political mistrust. It seeks to understand the dynamics of political trust, including mistrust accumulation, fluctuations over time, and changes in topic relevance. Additionally, the study aims to compare qualitative research findings with those obtained through computational methods.

METHODS

Data were gathered from a large-scale data set consisting of 13,629 Twitter and Facebook posts from 2020 to 2023 related to COVID-19. For analysis, a fine-tuned FinBERT model with an 80% accuracy rate was used for predicting political mistrust. The BERTopic model was also used for superior topic modeling performance.

RESULTS

Our preliminary analysis identifies 43 mistrust-related topics categorized into 9 major themes. The most salient topics include COVID-19 mortality, coping strategies, polymerase chain reaction testing, and vaccine efficacy. Discourse related to mistrust in authority is associated with perceptions of disease severity, willingness to adopt health measures, and information-seeking behavior. Our findings highlight that the distinct user engagement mechanisms and platform features of Facebook and Twitter contributed to varying patterns of mistrust and susceptibility to misinformation during the pandemic.

CONCLUSIONS

The study highlights the effectiveness of computational methods like natural language processing in managing large-scale engagement and misinformation. It underscores the critical role of trust in health authorities for effective risk communication and public compliance. The findings also emphasize the necessity for transparent communication from authorities, concluding that a holistic approach to public health communication is integral for managing health crises effectively.

In the Face of a Pandemic: "I Felt the Same as When the War Started"-A Qualitative Study on COVID-19 Vaccine Acceptance in Bosnia and Herzegovina

Objectives: To conduct qualitative study with different target groups in Bosnia and Herzegovina in order to explore their views on barriers and drivers for COVID-19 vaccination, and to see if and how barriers and drivers vary between urban and rural locations, and different professional roles. Methods: The theoretical framework underpinning the study is the capability-opportunity-motivation (COM-B) behavior change framework, which has been adapted to monitor vaccine related behavior and attitudes. Data was collected from June to September 2022 through moderated discussions in focus groups. The total of 162 participants participated in 16 focus groups. Results: Among the key barriers to successful immunization identified across target groups were insufficient knowledge about vaccines, pandemic fatigue, concerns about the rapid development of the vaccine and its effectiveness, lack of confidence in the healthcare system. Some of the main drivers of vaccination against COVID-19 were confidence in science and expert recommendations. Conclusion: The COVID-19 immunization policy undergoes continuous changes, as do the pandemic prospects; we encourage further research to track the evolution of vaccine related attitudes, inform immunization policy, and create evidence-based interventions.

The role of National Immunization Technical Advisory Groups in advising COVID-19 immunization policy during the pandemic: lessons from the Federation of Bosnia and Herzegovina

A National Immunization Technical Advisory Group (NITAG) is a multi-disciplinary body of experts that provides evidence-based recommendations on immunizations to policy-makers to assist them in making immunization policy and program decisions. NITAGs faced challenges in making evidence-based recommendations for COVID-19 vaccines during the COVID-19 pandemic due to the new vaccine products available in a short time period and limited available data on vaccine effectiveness and vaccine safety. The authors reviewed the process used by the NITAG in the Federation of Bosnia and Herzegovina, called the expert body, to develop COVID-19 vaccine recommendations. The article reviews the evidence that was considered by the expert body when developing 23 recommendations on COVID-19 vaccination and describes the challenges and successes faced by the body. The expert body recommendations led to the successful roll-out of COVID-19 vaccines and provided guidance for COVID-19 vaccination during the pandemic. The expert body plans to improve its work and procedures for developing routine immunization recommendations with the support of the WHO Regional Office for Europe.

Vaccination Coverage and Associated Factors of COVID-19 Uptake in Adult Primary Health Care Users in Greece

In our study, attitudes and perceptions of adult primary health care users regarding COVID-19 vaccination were evaluated. A single-center, cross-sectional study was conducted during a 1-year period (March 2021-March 2022) in a rural area in Crete, Greece. A sample of 626 self-reported questionnaires was collected at the end of the study period. Overall, 78% of respondents stated that they had received the COVID-19 vaccine. The reasons behind vaccine uptake were mainly personal beliefs and the desire to avoid professional constraints. The presence of diabetes type 2, fear of infection, and high perceived efficacy of vaccine previous flu vaccination, living with vulnerable persons, and the influence of scientific information were all significant predictors of COVID-19 vaccine uptake. On the contrary, unwillingness and/or uncertainty to be vaccinated was associated with fear of vaccine side effects, information insufficiency, media/internet information, older age, the presence of inflammatory arthritis, previous COVID-19 infection, the belief that infection confers much greater immunity than the vaccine, and attitudes against vaccinations in general were predictors against COVID-19 vaccination. In conclusion, taking into account all of the above predictors and particularly those regarding safety and vaccine effectiveness may guide future strategies appropriately tailored to specific characteristics and needs of different geographic populations.

Covering the Crisis: Evolution of Key Topics and Actors in COVID-19 News Coverage in Switzerland

Objectives: The goal of this study is to map the share of COVID-related news articles over time, to investigate key subtopics and their evolution throughout the pandemic, and to identify key actors and their relationship with different aspects of the discourse around the pandemic.

Methods: This study uses a large-scale automated content analysis to conduct a within-country comparison of news articles (N = 1,171,114) from two language regions of Switzerland during the first 18 months of the pandemic.

Results: News media coverage of the pandemic largely mirrors key epidemiological developments in terms of the volume and content of coverage. Key actors in COVID-related reporting tend to be included in news articles that relate to their respective area of expertise.

Conclusion: Balanced news coverage of the pandemic facilitates effective dissemination of pandemic-related information by health authorities.

Satisfaction with Health Care Services in the Adult Population of the Federation of Bosnia and Herzegovina during the COVID-19 Pandemic

Background and Objectives: Patient satisfaction with health care can influence health care-seeking behavior in relation to both minor or major health problems or influence communication and compliance with medical advice, which is especially important in emergencies such as the COVID-19 pandemic. Thus, it is important to continually monitor patient satisfaction with provided care and their dynamics. The aim of this study was to assess patient satisfaction with health care during the COVID-19 pandemic in the adult population of the Federation of Bosnia and Herzegovina (FB&H) and compare it with levels of satisfaction in the same population before the COVID-19 pandemic. Materials and Methods: A representative, population-based survey was implemented in the adult population of the FB&H using the EUROPEP instrument, which measures satisfaction with health care using 23 items. The sample included 740 respondents who were 18 years or older residing in the FB&H and was implemented in December 2020. All data were collected using a system of online panels. The survey questions targeted the nine months from the beginning of the pandemic to the time of data collection, i.e., the period of March to December 2020. Results: The mean composite satisfaction score across all 23 items of the EUROPEP tool was 3.2 points in all age groups; the ceiling effect was 22% for the youngest respondents (18-34 years old), 23% for 35-54 years old, and 26% for the oldest group (55+), showing increasing satisfaction by age. The overall composite score for both females and males was 3.2. The ceiling effect was higher in those with chronic disease (29% vs. 23% in those without chronic disease). The composite mean score for respondents residing in rural vs. urban areas was 3.2 with a ceiling effect of 22% in rural and 24% in urban residents. When comparing mean composite scores surveyed at various points in time in the FB&H, it was found that the score increased from 3.3 to 3.5 between 2011 and 2017 and dropped again to 3.3 in this study. Despite these observations in the overall trends of satisfaction scores, we note that no statistically significant differences were observed between most of the single-item scores in the stratified analysis, pointing to the relative uniformity of satisfaction among the analyzed population subgroups. Conclusions: The rate of satisfaction with health care services in the FB&H was lower during the COVID-19 pandemic compared to 2011 and 2017. Furthermore, while an increasing trend in satisfaction with health care was observed in the FB&H during the years prior to 2020, the COVID-19 pandemic may have contributed to the reversal of this trend. It is important to further monitor the dynamics of patient satisfaction with health care, which could serve as a basis for planning, delivering, and maintaining quality services during the COVID-19 pandemic and other emergencies.

Mental health assessment of healthcare workers in the emergency department of a low middle-income country during COVID-19 pandemic

INTRODUCTION

Emergency department (ED) healthcare workers in Pakistan during the COVID-19 pandemic are facing an acute rise in mental illnesses. In this study, the authors aim to assess the frequency of anxiety and depression among healthcare workers in the ED.

METHODS

A cross-sectional online google form-based survey was conducted in the ED of Aga Khan University Hospital, Karachi, Pakistan between July and August 2020. The Hospital Anxiety and Depression (HAD) scale was used for mental illness assessment among ED healthcare workers. Descriptive analysis of grading as per the Likert scale is done through frequencies, means, and standard deviations. Categorical variables were expressed as frequency (%). Mann-Whitney U test was used to compare scores of various groups and sub-groups and the Chi-square test was used to assess the association of depression and anxiety categories among the groups.

RESULTS

In the ED, 127 healthcare workers (physicians and nurses) were included in this survey. The median depression score was 8 (IQR 6-10) with 21% (27) falling under depression and 39% (50) under borderline depression. The median anxiety score was 9 (IQR 7-12) with 33% (42) having abnormal, and 38% (48) having borderline anxiety. Healthcare workers working for > 45 h per week have odds of 3.62 [1.374-9.549] of developing depression compared to anxiety with a p-value of 0.009. Similarly, nurses and medical officers develop depression with odds of 2.18 [1.016-4.686] p-value 0.045 and 5.18 [0.197-1.02] p-value 0.002, respectively.

CONCLUSION

ED healthcare workers during the COVID-19 pandemic suffered high levels of anxiety and depression, which is a matter of concern. Comprehensive support and training of ED healthcare workers are needed to promote physical and mental well-being and to develop guidelines that should be used during situations that can affect the mental health of healthcare workers.

Population Perspectives on Impact of the COVID-19 Pandemic on Essential Health Services-Behavioral Insights from the Federation of Bosnia and Herzegovina

The aim of this study was to analyze the impact of the COVID-19 pandemic on patterns of use of essential health services (EHS), health-seeking behaviors, and population health and wellbeing in the Federation of Bosnia and Herzegovina (FBiH) from the perspective of its adult population. A population-based survey was implemented in the FBiH in December 2020 on a sample of 1068 adults. Overall, 64% of respondents received care, significantly more being women (67% vs. 61%, p = 0.046), those with a chronic disease (CD) (75% vs. 65%, p < 0.001), and of an older age (58% in 18−34 vs. 67% in older, p = 0.031). These groups also postponed care more often (39% in 55+ vs. 31% in 18−34 years old, p = 0.01; 55% with CD vs. 31% without, p < 0.001; and 43% in females vs. 32% males, p < 0.001). Main reasons for postponing care were lack of available appointments and fear of infection. The presence of a CD was the strongest predictor of need, access, and disruptions of health care. Respondents reported increased expenses for medicines (40%) and health services (30%). The findings of the survey add user insights into EHS disruptions to existing health statistics and other data and may be used to inform strategies for mitigating the impact of COVID-19 on the disruption of health care services, strengthening health system preparedness and building resilience for future emergencies.

Web search behaviors and infodemic attitudes regarding COVID-19 in Turkey: A framework study for improving response and informing policy on the COVID-19 infodemic

Objective

This study aimed to develop a framework regarding COVID-19 infodemic response and policy informing through focusing on infodemic concepts circulating on the online search engine in Turkey in relation to the COVID-19 outbreak and comparing the contents of these concepts with Maslow's hierarchy of needs and disaster stages.

Materials and methods

The universe of this descriptive epidemiological research consists of internet search activities on COVID-19 circulating online on Google Trends between March 10, 2020, when the first case was seen in Turkey, and June 01, 2020, when the lockdown restrictions were lifted.

Findings

There was no internet trend regarding a misinformed attitude within the given date range. While an infodemic attitude toward superficial attitude and racist attitude in the internet environment was detected for 1 week, an infodemic attitude toward definitive attitude was detected for 2 weeks. The non-infodemic concepts were more common than the other infodemic attitudes. The infodemic concepts were able to reach Maslow's physiological, safety, and social need levels. With the infodemic concepts obtained, a COVID-19 development process framework was developed. The framework consists of three domains (COVID-19, applications and outcomes), including disaster phases and health/social impacts, built on seven public health epochs.

Results

A systematized COVID-19 development process framework was modeled in order to conceptualize COVID-19 internet searches and to reveal the development processes and outcomes.

Two years of COVID-19 pandemic: Framework of health interventions in a Brazilian city

The COVID-19 pandemic and its effects on public health have urgently demanded effective health policies to avoid the spread of COVID-19. Thus, public administrators have implemented non-pharmacological and pharmacological interventions to mitigate the pandemic's impacts and strengthen health services. The aim of this ecological study is to describe the scenario of COVID-19 pandemic in a Brazilian city, during 2 years. This ecological study was carried out in Nova Friburgo, a Brazilian city, for 105 weeks (two years), from March 29, 2020 (week 1) to April 02, 2022 (week 105). Data on COVID-19 cases and COVID-19 deaths, occupation of COVID-19 exclusive beds in hospitals, community mobility, vaccination, government regulation on the opening of city establishments and city risk assessment were collected from public datasets. Four waves of COVID-19 cases and deaths were observed during this period. The first case occurred in week 1 and first death in week 3 of this study. The highest peaks of cases and deaths were observed during the third wave with 1,131 cases (week 54) and 47 deaths (week 55) and where the highest occupation of COVID-19 exclusive beds in local hospitals occurred. Interventions from more restrictive to more flexible, were implemented throughout this study, including lockdown and gradual return in economic and social strata levels. Vaccination began on week 43 and at the end of this study 89.91% of the total population was vaccinated with at least one dose, being 83.22% fully vaccinated. A deep description of several interventions used to avoid COVID-19 spread in a Brazilian city during 2 years of this pandemic can help promote better decision-making in the future while it exposes the challenges of conducting public health policies in a pandemic scenario.